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Publications associées (30)

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Exploration Methodology for BTI-Induced Failures on RRAM-Based Edge AI Systems

David Atienza Alonso, Alexandre Sébastien Julien Levisse, Miguel Peon Quiros, Marco Antonio Rios

Resistive switching memory technologies (RRAM) are seen by most of the scientific community as an enabler for Edge-level applications such as embedded deep Learning, AI or signal processing of audio and video signals. However, going beyond a "simple'' repl ...

IEEE2020

Successive Refinement to Caching for Dynamic Requests

Michael Christoph Gastpar

In the celebrated coded caching problem studied by Maddah-Ali and Niesen, the peak-traffic network load is to be reduced by first caching some information about contents into individual memories of end users during the off-peak hours and then upon user req ...

IEEE2020

Engram Excitement

Johannes Gräff, Zimbul Albo

Engram cells can encode and switch between multiple mnemonic functions, but how they intrinsically do so is unknown. Pignatelli, Ryan, and colleagues show that upon memory recall, the engram's excitability is transiently elevated, allowing its bearer to ad ...

2019

Reactivation of Recall-Induced Neurons in the Infralimbic Cortex and the Basolateral Amygdala After Remote Fear Memory Attenuation

Johannes Gräff, Ossama Mohamed Salah El-Dien El-Sayed Ibrahim Khalaf

Whether the attenuation of traumatic memories is mediated through the suppression of the original memory trace of fear by a new memory trace of safety, or through an updating of the original fear trace towards safety has been a long-standing question at th ...

2019

Low-Power Design of Digital VLSI Circuits around the Point of First Failure

Andrea Bonetti

As an increase of intelligent and self-powered devices is forecasted for our future everyday life, the implementation of energy-autonomous devices that can wirelessly communicate data from sensors is crucial. Even though techniques such as voltage scaling ...

EPFL2019

Extreme Scalability of DFT-Based QM/MM MD Simulations Using MiMiC

Ursula Röthlisberger, Simone Meloni, Martin Peter Bircher, Viacheslav Bolnykh

We present a highly scalable DFT-based QM/MM implementation developed within MiMiC, a recently introduced multiscale modeling framework that uses a loose-coupling strategy in conjunction with a multiple-program multiple-data (MPMD) approach. The computatio ...

2019

Underlying mechanisms of episodic autobiographical memory and self-consciousness

Lucie Bréchet

Cognitive neuroscience has been examining consciousness associated with the subject, that is the self of the conscious experience and its related multisensory processing of bodily signals, the so-called bodily self-consciousness. Different line of research ...

EPFL2019

Long-term verbal memory deficit and associated hippocampal alterations in 22q11.2 deletion syndrome

Daniela Maria Zöller, Maude Schneider

Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a genetic disease associated with an increased risk for schizophrenia and a specific cognitive profile. In this paper, we challenge the current view of spared verbal memory in 22q11.2DS by investigating v ...

2020

Constitutive differences in glucocorticoid responsiveness are related to divergent spatial information processing abilities

Maria del Carmen Sandi Perez, Simone Astori, Damien Sébastien Huzard

The stress response facilitates survival through adaptation and is intimately related to cognitive processes. The Morris water maze task probes spatial learning and memory in rodents and glucocorticoids (i.e. corticosterone (CORT) in rats) have been sugges ...

2020

Collective Memory and Resistance: Visual explorations in the Historic Centre and Films of Mexico City

Lesslie Astrid Herrera Quiroz

Today, institutionalised discourses surrounding heritage have social and physical impacts, with the potential to lead to a break between inhabitants' collective memory of popular neighbourhoods, and their transforming territories. In this context, the acti ...

EPFL2019